{"id":"W4283380133","doi":"10.1021/acs.langmuir.2c00836","title":"Lysozyme is Sterically Trapped Within the Silica Cage in Bioinspired Silica–Lysozyme Composites: A Multi-Technique Understanding of Elusive Protein–Material Interactions","year":2022,"lang":"en","type":"article","venue":"Langmuir","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"European Social Fund; Università degli Studi di Firenze; Ministero dell'Università e della Ricerca; Dipartimenti di Eccellenza; Fondazione Cassa di Risparmio di Firenze; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Lysozyme; Silicic acid; Steric effects; Chemistry; Covalent bond; Chemical physics; Scattering; Chemical engineering; Crystallography; Materials science; Stereochemistry; Organic chemistry; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876449,0.0001852824,0.0002572721,0.00008807584,0.000354996,0.00003174913,0.0004080063,0.0000719289,0.0005321716],"category_scores_gemma":[0.00002046127,0.0001595291,0.0001089771,0.000503884,0.0001356618,0.00007309212,0.0002011349,0.0003357875,0.000007804201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002795468,"about_ca_system_score_gemma":0.00004998448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000822079,"about_ca_topic_score_gemma":0.0003358447,"domain_scores_codex":[0.9986283,0.000157027,0.0004614742,0.0003146081,0.000203443,0.0002352012],"domain_scores_gemma":[0.9991848,0.00008668599,0.0002478311,0.0004033762,0.0000290826,0.0000481828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001261935,0.0002649089,0.00008217556,0.00004588112,0.00002877294,0.000009330536,0.002751204,0.0003470462,0.9898764,0.006201304,0.0002308593,0.00003596136],"study_design_scores_gemma":[0.0008169257,0.00008963276,0.0003882709,0.00005045412,0.00003064706,0.00003686191,0.00448464,0.001848167,0.9841556,0.000903066,0.006904308,0.0002914036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902047,0.00002028881,0.002488841,0.002264124,0.00007413886,0.00111354,0.0003437965,0.0001692567,0.003321333],"genre_scores_gemma":[0.9964245,0.00000101001,0.001038237,0.0002674935,0.00005367313,0.001353166,0.0001197396,0.00003152969,0.0007106646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006673449,"threshold_uncertainty_score":0.6505408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03801311498169894,"score_gpt":0.2706488708759022,"score_spread":0.2326357558942032,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}